کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6370101 1623846 2015 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identical inferences about correlated evolution arise from ancestral state reconstruction and independent contrasts
ترجمه فارسی عنوان
استنتاج های مشابه در مورد تکامل همبستگی ناشی از بازسازی دولت میراث و کنش های مستقل است
کلمات کلیدی
روشهای مقایسه ای، تکامل جهت،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


- Independent contrasts are expressible in terms of reconstructed ancestral states.
- Both approaches yield identical inferences about correlated evolution.
- Independent contrasts can be defined for any model with a local likelihood function.
- Formulae for independent contrasts with directional drift are defined.
- Directional contrasts outperform standard contrasts in simulation studies.

Inferences about the evolution of continuous traits based on reconstruction of ancestral states have often been considered more error-prone than analysis of independent contrasts. Here we show that both methods in fact yield identical estimators for the correlation coefficient and regression gradient of correlated traits, indicating that reconstructed ancestral states are a valid source of information about correlated evolution. We show that the independent contrast associated with a pair of sibling nodes on a phylogenetic tree can be expressed in terms of the maximum likelihood ancestral state function at those nodes and their common parent. This expression gives rise to novel formulae for independent contrasts for any model of evolution admitting of a local likelihood function. We thus derive new formulae for independent contrasts applicable to traits evolving under directional drift, and use simulated data to show that these directional contrasts provide better estimates of evolutionary model parameters than standard independent contrasts, when traits in fact evolve with a directional tendency.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 364, 7 January 2015, Pages 321-325
نویسندگان
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